True ValueHub is an AI-native B2B SaaS solution for manufacturing companies. We help manufacturing companies save costs on direct material procurement. Our AI engine provides visibility into the true cost of manufacturing products and components globally and reduces sourcing cycle time and new product introduction time to market. We provide detailed total landed cost insights for buyers and suppliers and a secure collaboration platform. Our award winning technology has been rated as a leading solution in our segment.
The Role:
We are hiring three Senior Agentic AI Engineers to build the next generation of fully autonomous AI agents that will transform how manufacturers handle procurement. You will architect and deploy production-grade agentic systems that autonomously perform costing analysis, discover and evaluate suppliers, and execute negotiation workflows.
This is a high-impact role where you will ship real AI agents to production, working on problems that directly affect large global manufacturing companies.
Key Responsibilities:
Agentic AI Development
- Design and implement fully autonomous agent workflows using frameworks like CrewAI, LangGraph, or similar orchestration tools
- Build multi-agent systems with advanced reasoning, planning, tool usage, and autonomous decision-making capabilities
- Develop sophisticated prompt strategies, agent memory systems, tool calling mechanisms, and decision logic for production applications
- Ensure agents operate with appropriate autonomy levels and human oversight gates where critical
LLM Engineering & Integration:
- Build and optimize LLM-based solutions
- Implement and enhance RAG (Retrieval-Augmented Generation) pipelines with our existing vector databases
- Fine-tune and evaluate models for procurement-specific tasks, including cost analysis, supplier evaluation, eRFx, and negotiation
- Optimize LLM performance for cost efficiency, latency, accuracy, and scalability in production environments
Platform Integration:
- Integrate agentic AI systems with our existing tech stack: Angular frontend, .NET Core backend, SQL databases
- Build seamless APIs and microservices that connect AI agents with existing platform features 1 | Page
- Ensure agents can access BOM data, supplier information, historical cost data, and external pricing APIs
- Design user interfaces in Angular that surface agent insights and recommendations effectively
Production Deployment & MLOps:
- Deploy AI agents to Azure cloud infrastructure with production-grade reliability
- Build and maintain end-to-end MLOps pipelines, including versioning, monitoring, logging, and retraining
- Implement CI/CD for agentic workflows and ML systems
- Monitor agent performance, drift, hallucinations, accuracy metrics, and behavioral anomalies in production
- Establish observability and debugging frameworks for complex multi-agent systems
Required Skills & Qualifications:
Core Experience
- 3-7 years of experience in Machine Learning development and production deployment
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)
- Proven track record of shipping ML/AI systems to production in B2B SaaS environments
- Experience working in fast-paced, product-focused engineering teams (20+ members)
Agentic AI & LLM Expertise:
- Hands-on experience building agentic AI systems using frameworks such as CrewAI, LangGraph, AutoGen, or similar
- 2-3 years working with LLMs (OpenAI GPT models, Anthropic Claude, or open-source models like LLaMA, Mistral)
- Deep understanding of prompt engineering, tool calling, agent memory, planning, reasoning, and autonomous decision-making
- Experience designing multi-agent systems that coordinate and collaborate on complex tasks
Technical Infrastructure:
- Strong experience with vector databases (FAISS, Pinecone, Weaviate, Chroma, etc.) and RAG architectures
- Proficiency with REST APIs, async systems, microservices, and event-driven architectures
- Hands-on experience with Docker, Kubernetes, and Azure cloud services
- Ability to integrate AI systems with existing tech stacks (.NET Core, Angular, SQL)
MLOps & Production Engineering:
- Experience with model versioning, experiment tracking (MLflow, Weights & Biases), monitoring, and observability
- Knowledge of production ML system design patterns and best practices
- Understanding of cost optimization strategies for LLM-heavy applications
- Familiarity with evaluation frameworks and metrics for LLMs and autonomous agents
Good to Have:
- Prior experience building enterprise agentic workflows or autonomous AI systems
- Knowledge of LangChain or other GenAI orchestration frameworks
- Experience with FastAPI, Flask, or similar backend frameworks
- Understanding of procurement, supply chain, or manufacturing domains
- Exposure to fine-tuning and RLHF techniques
- Experience with A/B testing and experimentation frameworks for AI systems
- Background in reinforcement learning or decision-making systems
What Sets You Apart:
- Strong system-thinking and architectural design skills for complex AI systems
- Ability to work independently and take full ownership of agent development from concept to production
- Product-first mindset with focus on user value and business outcomes
- Clear communication skills for documenting complex AI systems and collaborating across teams
- Entrepreneurial energy and comfort with ambiguity in a fast-growing startup
- Bias for action and shipping – you deliver working agents, not just prototypes
Why Join True ValueHub:
Impact: Your AI agents will directly influence millions of dollars in procurement decisions and help manufacturers optimize their supply chains globally.
Growth Stage: Join the fastest-growing Procure Tech startup and shape the product, the team, and the company’s trajectory.
Cutting-Edge AI: Work on real-world agentic AI applications that go far beyond chatbots – build autonomous systems that reason, plan, and execute complex workflows.
Ownership: You will have significant autonomy and ownership over the agent architecture and implementation decisions.
Team: Collaborate with a talented 30+ member engineering team, including experienced AI/ML engineers, reporting to our AI/ML Director.
Mission: Help discrete manufacturers reduce costs, improve supply chain resilience, and navigate complex challenges like tariff volatility and supplier risk.
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